R

5+ of experience both using and teaching the R programming language.
Experienced in applying various statistical methods with R Ability to build and implement machine learning models using TensorFlow and the keras interface

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Data Analysis

Highly skilled in data presentation and reporting Extensive experience in data extraction from SQL databases and experience with database design and maintenance.

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Development

Many years of experience using development-workflow tools including Git, Github and Azure DevOps Experience creating and maintaining build and release pipelines

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Data Analyst

Guernsey Financial Services Commission

Guernsey, CI

2019 - Current

• Recreated and automated the generation of various data reports using R.
• Created a Shiny-based UI for users to interact with the report generator.
• I was the lead developer for a project utilising machine-learning and advanced modelling to improve financial regulation
• Developed and implemented a tool to flag problematic documents to supervisors based on a neural-network
• Implented a completely custom R repository that utilised automatic-building tools and a RESTful API
• Further developed and delivered R training materials (teacheR and opeRate)

Graduate Data Analyst

ELEXON

London, UK

2018 - 2019

• Performance Assurance Review team
  • 6 months
  • Implemented a new risk simulation, utilising a Monte-Carlo methodology in R to better estimate the financial cost associated with specific risks.
• Market Analysis team
  • Automated and updated market reports, allowing them to be automatically published to the ELEXON website with custom HTML widgets to allow for greater user interaction.
  • Developed an R package to facilitate the extraction of energy-related data from the Balancing Mechanism Reporting Service API provided by ELEXON called BMRSr.
• First developed materials to teach R to beginners that would eventually become the teacheR and opeRate books.

Cardiff University

First Class Honors - BSc. Psychology

Cardiff, UK

2014 - 2018

Project: An Evaluation of Spatial Representations of Order and the Efficacy of Online Studies

• Designed an online and lab-based version of a cognitive psychology experiment testing the relationship between actual and represented differences between items in a list.
• Extended the functionality of the developing PsychoJS software to run the experiment online.
• Analysed the difference in responses between the online and lab versions of the study as a secondary research topic.